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Cancer tRNA & tRF/tiRNA Biomarker Discovery Solution — From Expression Discovery to Validated Biomarker Panels

tRNA and tRF&tiRNA populations are dynamically regulated in cancer and highly enriched in biofluids, making them promising biomarker molecules. Arraystar's solution combines tRNA-seq, tRF&tiRNA-seq, and PCR arrays to discover differentially expressed tRNAs and tRFs/tiRNAs, then validate candidate biomarkers across cohorts.

Discovery to validation workflow · sequencing and qPCR arrays · biofluid-compatible

Overview

A two-stage workflow from discovery to validation

The composition and abundance of tRFs&tiRNAs are highly dependent on the cell type and disease condition, making them excellent biomolecules for biomarkers [1]. For example, the ratio of tRFs&tiRNAs is a good indicator of cancer progression-free survival and a candidate prognostic marker [2]. tRNA expression is also dynamically altered in cancer: tRNAs are over-expressed in breast cancer [3], and modulated expression of specific tRNAs drives gene expression and cancer progression [4].

Arraystar's cancer biomarker solution starts with genome-wide discovery by tRNA-seq and tRF&tiRNA-seq, identifying differentially expressed tRNAs, tRFs, and tiRNAs in tumor versus normal samples. Candidate biomarkers are then validated by high-throughput qPCR arrays — the nrStar™ tRNA PCR Array and nrStar™ tRF&tiRNA PCR Array — or individual pre-designed primers, with biofluid-compatible workflows for liquid biopsy applications.

What is the cancer tRNA & tRF/tiRNA biomarker discovery solution?

This solution combines tRNA sequencing, tRF&tiRNA sequencing, and qPCR arrays to discover and validate tRNA- and tRF/tiRNA-based biomarkers for cancer. It pairs genome-wide discovery with high-throughput validation, and supports biofluid samples such as serum and plasma for non-invasive biomarker studies.

Service at a Glance

Cancer biomarker discovery services — combine sequencing and qPCR arrays for discovery-to-validation studies

Service NameCoveragePrice
tRF&tiRNA SequencingGenome-wide tRF/tiRNA discovery with precise annotation
tRNA SequencingComprehensive tRNA expression profiling
nrStar™ tRF&tiRNA PCR Array (H/M)185 human / 88 mouse prevalent tRFs & tiRNAs
nrStar™ tRNA PCR Array (H/M)185 human/mouse tRNAs, isoacceptors & isodecoders

Benefits

Why choose Arraystar for cancer biomarker discovery

🔬

Genome-Wide Discovery

tRNA-seq and tRF&tiRNA-seq profile the full tRNA and tRF/tiRNA landscape in cancer samples.

High-Throughput Validation

Ready-to-run PCR arrays validate candidate biomarkers across many samples in hours.

🧬

Precise Annotation

tRF&tiRNA annotation by sequence, type, length, and cleavage sites; tRNA annotation by isoacceptor and isodecoder.

🩸

Biofluid Compatible

tRNA and tRF/tiRNA populations are highly enriched in biofluids, supporting liquid biopsy studies.

📊

Focused Bioinformatics

Differential expression, statistics, and publication-quality graphics in every project.

🔗

Integrated tRNA Portfolio

Sequencing, PCR arrays, pretreatment kits, and LC-MS work together in one integrated program.

Background

tRNA and tRF/tiRNA in cancer

tRFs and tiRNAs, generated through precise biogenesis processes from tRNA, perform many biological functions as small noncoding RNAs and are associated with many diseases and conditions (Fig. 1). The composition and abundance of tRFs&tiRNAs are highly dependent on the cell type and disease condition, making them excellent biomolecules for biomarkers [1].

For example, the ratio of tRFs&tiRNAs is a good indicator of cancer progression-free survival and a candidate prognostic marker [2]. Also, tRNA and tRF&tiRNA populations are highly enriched in biofluids, much more so than microRNAs [5-6], supporting non-invasive biomarker studies in serum and plasma.

tRNA expression is also dynamically regulated in cancer: tRNA over-expression is observed in breast cancer [3], and modulated expression of specific tRNAs drives gene expression and cancer progression [4]. m7G-modified tRNAs elevated by METTL1 overexpression drive tumorigenesis in leukemia, glioblastoma, cholangiocarcinoma, and lung cancer [7-9].

Figure 1. tRF&tiRNA functions and association with diseases.
Figure 1. tRF&tiRNA functions and association with diseases.

Background References

  1. Telonis AG, et al. Dissecting tRNA-derived fragment complexities using personalized transcriptomes reveals novel fragment classes and unexpected dependencies. Oncotarget, 2015. PMID: 26325506
  2. Olvedy M, et al. A comprehensive repertoire of tRNA-derived fragments in prostate cancer. Oncotarget, 2016. PMID: 27015120
  3. Pavon-Eternod M, et al. tRNA over-expression in breast cancer and functional consequences. Nucleic Acids Research, 2009. PMID: 19783824
  4. Goodarzi H, et al. Modulated Expression of Specific tRNAs Drives Gene Expression and Cancer Progression. Cell, 2016. PMID: 27259150
  5. Schageman J, et al. The complete exosome workflow solution: from isolation to characterization of RNA cargo. BioMed Research International, 2013. PMID: 24205503
  6. Dhahbi JM, et al. 5′ tRNA halves are present as abundant complexes in serum, concentrated in blood cells, and modulated by aging and calorie restriction. BMC Genomics, 2013. PMID: 23638709

Solution Workflow — Building Your Evidence Chain

From tumor samples to validated tRNA and tRF/tiRNA biomarker panels

1

Sample & RNA QC

Tumor, normal, or biofluid samples are processed with small-RNA-retaining RNA purification and rigorous QC.

2

Genome-Wide Discovery

tRNA-seq and/or tRF&tiRNA-seq profile differentially expressed tRNAs, tRFs, and tiRNAs with precise annotation.

3

Bioinformatics Prioritization

Differential expression analysis, statistics, and publication-quality graphics prioritize candidate biomarkers.

4

Cohort Validation

nrStar™ tRNA PCR Array and tRF&tiRNA PCR Array, or pre-designed primers, validate candidates across many samples.

5

Integrative Interpretation

Results are cross-referenced with tRNA modification data (LC-MS, modification sequencing) and clinical variables.

Bioinformatics & Deliverables

Deliverables for cancer biomarker discovery projects

Every project includes focused bioinformatics with publication-quality graphics. Sequencing projects deliver differential expression profiling with detailed annotation; array projects deliver ready-to-analyze qPCR data with analysis tools.

Standard Deliverables

Research Applications

tRNA and tRF/tiRNA biomarkers across cancer research

Prognostic Biomarkers

The ratio of tRFs&tiRNAs is a good indicator of cancer progression-free survival and a candidate prognostic marker (Oncotarget, 2016).

Breast Cancer

tRNA over-expression in breast cancer and functional consequences (Nucleic Acids Res, 2009).

Prostate Cancer

A comprehensive repertoire of tRNA-derived fragments in prostate cancer (Oncotarget, 2016).

Lung Cancer

tRNA-based prognostic score in predicting survival outcomes of lung adenocarcinomas (Int J Cancer, 2019).

Tumorigenesis Drivers

m7G-modified tRNAs elevated by METTL1 overexpression drive leukemia, glioblastoma, cholangiocarcinoma, and lung cancer (Mol Cell, 2021).

Liquid Biopsy

tRNA and tRF/tiRNA populations are highly enriched in biofluids, supporting non-invasive biomarker discovery.

Choosing the Right Strategy for Your Study

Method selection depends on your biomarker discovery stage and sample type

DimensiontRF&tiRNA SequencingtRNA SequencingtRF&tiRNA PCR ArraytRNA PCR Array
Profiling scopeGenome-wide tRFs & tiRNAs with precise annotationComprehensive tRNA expression185 human / 88 mouse prevalent tRFs & tiRNAs185 human/mouse tRNAs
Best forDiscovery in new sample typesDiscovery of tRNA expression changesHigh-throughput cohort validationHigh-throughput tRNA validation
Sample throughputLow to moderate (per-sample sequencing)Low to moderateHigh (384-well plates, results in hours)High (384-well plates, results in hours)
Biofluid compatibilityYes — tRF/tiRNA highly enriched in biofluidsYesYesYes (primers validated in serum)
Recommended RNA> 1 µg> 2 µg> 5 µg> 5 µg

Sample Requirements

Official Arraystar sample submission requirements for cancer biomarker projects

RNA Amount & Quality

  • Total RNA input: > 1 µg for tRF&tiRNA-seq, > 2 µg for tRNA-seq, and > 5 µg for PCR array projects (official recommended minimums, including sample QC). Supply twice the recommended minimum to avoid project delays.
  • Purification: TRIzol / RNA precipitation or an RNA isolation kit. Because tRNA and tRF/tiRNA are < 200 nt, use a kit specified to retain small RNAs (e.g. Qiagen miRNeasy).
  • Concentration: > 20 ng/µL by Nanodrop; OD260/280 ~2.0 (acceptable 1.7–2.1); OD260/230 > 1.8.
  • Integrity: sharp 18S/28S rRNA bands by gel, or RIN > 7.0 by Bioanalyzer (serum/plasma/exosome/FFPE RNA exempt).
  • DNase treatment: required for qPCR projects; optional for sequencing.

Shipping Instructions

  • Ship RNA in nuclease-free water (> 20 ng/µL), freeze-dried, or in ethanol; store at −80 °C or in liquid nitrogen.
  • For biofluid samples, follow the official collection guidance (serum/plasma 1-5 mL depending on pretreatment).
  • Use nuclease-free certified, screw-cap 1.5 mL microtubes; seal caps with Parafilm; place tubes in a plastic bag.
  • Use 10 kg dry ice as refrigerant; include a signed Project Form and the sample list. Ship to: Arraystar Inc., 9430 Key West Avenue #128, Rockville, MD 20850, USA.

FAQ

Common questions about cancer tRNA & tRF/tiRNA biomarker discovery

Why are tRNAs and tRFs/tiRNAs promising cancer biomarkers?
The composition and abundance of tRFs&tiRNAs are highly dependent on the cell type and disease condition, making them excellent biomolecules for biomarkers. tRNA and tRF&tiRNA populations are highly enriched in biofluids, much more so than microRNAs, and the ratio of tRFs&tiRNAs is a candidate prognostic marker for cancer progression-free survival.
Which services are used for biomarker discovery?
Discovery starts with genome-wide tRNA-seq and tRF&tiRNA-seq to identify differentially expressed candidates with precise annotation, including sequence, type, length, and cleavage sites. Candidates are then validated with high-throughput nrStar™ tRNA and tRF&tiRNA PCR arrays, or individual pre-designed primers, across larger cohorts for reliable biomarker assessment.
Can the workflow handle biofluid samples?
Yes. tRNA and tRF/tiRNA populations are highly enriched in biofluids, often much more so than microRNAs. Serum and plasma samples can be used, following the official biofluid collection guidance; RNAs known to be degraded or fragmented (e.g. serum/plasma RNA) are not checked for integrity.
What is the minimum amount of RNA required?
Recommended minimums are more than 1 µg of total RNA for tRF&tiRNA-seq, more than 2 µg for tRNA-seq, and more than 5 µg for PCR array projects — official Arraystar recommended minimums for the entire experiment in a single attempt, including sample QC. Supplying twice the recommended minimum helps avoid delays.
What bioinformatics analyses are included?
Sequencing projects include differential expression profiling with detailed annotation, volcano plots, and publication-quality graphics; tRF&tiRNA-seq adds subtype pie charts and focused tRF/tiRNA statistics. Array projects include ready-to-analyze qPCR data with analysis tools, normalization references, and quality controls for reliable biomarker interpretation.
Can the solution be combined with modification profiling?
Yes. tRNA modification status can be added with LC-MS based tRNA modification analysis, tRNA Modification Seq (m1A, m3C, m1G, m2,2G), m7G TRAC-Seq, or m3C HAC-Seq. This links biomarker expression changes to epitranscriptomic regulation and helps explain the mechanisms behind differential tRNA and tRF/tiRNA levels in cancer.

Selected Publications

Featured Client Publications in Cancer tRNA & tRF/tiRNA Research

  1. Olvedy M, et al. A comprehensive repertoire of tRNA-derived fragments in prostate cancer. Oncotarget, 2016. PMID: 27015120
  2. Goodarzi H, et al. Modulated Expression of Specific tRNAs Drives Gene Expression and Cancer Progression. Cell, 2016. PMID: 27259150
  3. Kuang M, et al. tRNA-based prognostic score in predicting survival outcomes of lung adenocarcinomas. International Journal of Cancer, 2019. PMID: 30838640
  4. Dai Z, et al. N(7)-Methylguanosine tRNA modification enhances oncogenic mRNA translation and promotes intrahepatic cholangiocarcinoma progression. Molecular Cell, 2021. PMID: 34352206
  5. Ying X, et al. METTL1-m7G-EGFR/EFEMP1 axis promotes the bladder cancer development. Clinical and Translational Medicine, 2021. PMID: 34936728
  6. Xi J, et al. Expression and Diagnostic Value of tRNA-Derived Fragments Secreted by Extracellular Vesicles in Hypopharyngeal Carcinoma. OncoTargets and Therapy, 2021. PMID: 34285510

Ready to Discover tRNA & tRF/tiRNA Cancer Biomarkers?

Arraystar combines tRNA-seq, tRF&tiRNA-seq, and PCR arrays for cancer biomarker discovery and validation — get a quote and a project timeline tailored to your study.